Application of EUCS and UTAUT Method to Analyze The Implementation of Donation-Based Crowdfunding System for Fundraising Mobile Applications

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Lucky Mahesa Yahya
Sri Purwati
Triani Patra Pertiwi
Hendra
Agustinus Suradi

Abstract

This research aims to determine the success of implementing the donation-based crowdfunding system in donation applications. This research will be carried out using a quantitative approach. Researchers will carry out observations and questionnaires using accidental sampling to ask respondents to answer questions that have been created in the form of a Google Form link. Researchers collected samples using the purposive sampling method. 100 people were used as respondents in this research. SmartPLS was used to carry out inferential data processing. In accordance with the results of the analysis discussion, it can be concluded that the variables in the UTAUT and EUCS models that are proven to have a positive and significant influence in measuring the level of success in implementing the donation-based crowdfunding system in applications are accuracy, content, facilitating conditions, performance expectancy, price value, social influence, user satisfaction, behavioral intention, and use behavior. Meanwhile, the effort expectancy and perceived credibility variables were proven to have no positive or significant effect in this research. Based on data analysis, the biggest variable that influences the level of success in implementing the donation-based crowdfunding system in applications is the behavioral intention variable towards use behavior. The second variable that has the most influence is performance expectancy on perceived credibility. Meanwhile, the other variable is user satisfaction with behavioral intention. From the results of the data processing that has been carried out, the variable that has the smallest influence on the level of success in implementing the donation-based crowdfunding system in the application is effort expectancy on behavioral intention. Next is the variable perceived credibility on behavioral intention.

Article Details

How to Cite
Mahesa Yahya, L., Purwati, S., Patra Pertiwi, T., Hendra, & Suradi, A. (2023). Application of EUCS and UTAUT Method to Analyze The Implementation of Donation-Based Crowdfunding System for Fundraising Mobile Applications. Jurnal Informasi Dan Teknologi, 5(4), 165-170. https://doi.org/10.60083/jidt.v5i4.433
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References

[1] Agustin, P. A., & Nuryana, I. K. D, “Comparative Analysis of Users of the Tiktok Application with Snack Video using the UTAUT and EUCS Methods,” Journal of Emerging Information System and Business Intelligence (JEISBI), vol. 3, no. 4, pp. 80– 90, 2022.
[2] Pramudito, D. K., Ahmad, N., Suwanda, R., Zakaria, M., & Judijanto, L. (2023). Designing an E-Recruitment Information System Using Simple Additive Weighting Method for Employee Recruitment in Banking Industry. Jurnal Informasi Dan Teknologi, 5(4), 19-25.
[3] Belleflamme, P., Lambert, T., & Schwienbacher, A, “Crowdfunding: Tapping the Right Crowd,” Journal of Business Venturing, vol. 29, 2022, https://doi.org/10.2139/ssrn.1578175
[4] Delone, W., & McLean, E, “The DeLone and McLean Model of Information Systems Success: A Ten-Year Update,” J. of Management Information Systems, vol. 19, pp. 9–30, 2023, https://doi.org/10.1080/07421222.2003.11045748
[5] Parulian, N. A., & Tannady, H. (2023). The Role of Electronic Word of Mouth on Customer Purchase Intention in Social Media Instagram. JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi), 9(2), 226-231.
[6] Ilias, A., Abd Razak, M. Z., Rahman, R. A., & Yasoa’, M. R, “End-User Computing Satisfaction (EUCS) in Computerised Accounting System (CAS): Which the Critical Factors? A Case in Malaysia,” Computer and Information Science, vol. 2, no. 1, pp. 18–24, 2019, https://doi.org/10.5539/cis.v2n1p18
[7] Handayani, L., Anantajaya, S. P., Hendrawan, H., & Tannady, H. (2023). Analysis of the Influence of Fiscal Decentralization, Dependency Ratio, and Ratio of Independence on the Human Development Index in East Region of Indonesia. JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi), 9(1), 140-147.
[8] Masrek, M. N., Halim, M. S. A., Khan, A., & Ramli, I, “The impact of perceived credibility and perceived quality on trust and satisfaction in mobile banking context,” Asian Economic and Financial Review, vol. 8, no. 7, pp. 1013–1025, 2018, https://doi.org/10.18488/journal.aefr.2018.87.1013.1025
[9] Oliveira, T., Faria, M., Thomas, M., & Popovič, A, “Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM,” International Journal of Information Management, vol. 34, pp. 689–703, 2014, https://doi.org/10.1016/j.ijinfomgt.2014.06.004
[10] Haekal, R. D., & Tannady, H. (2023). The Impact of Capital Structure on Profitability of Mining Companies. JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi), 9(4), 1611-1615.
[11] Hafly, N. A, “Application of the UTAUT2 Model to Explain Behavioral Intention and Use Behavior Using Mobile Banking in Malang City,” Jurnal Ilmiah Mahasiswa Fakultas Ekonomi Dan Bisnis, vol. 8, no. 2, pp. 1689–1699, 2020.